{"id":1976187,"url":"https://alion.io/job/sedgwick-vp-ai-engineering-enterprise","title":"VP AI Engineering - Enterprise","company":{"id":5707,"name":"Sedgwick","domain":"sedgwick.com","url":"https://alion.io/company/sedgwick","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":45,"ghost_share":0,"stale_share":0.711,"repost_share":0.067,"time_to_fill_p50_days":20,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":125000,"max_usd":223000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":551},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Db2","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-06T21:25:28Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-14T18:07:02Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.\nNewsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies\nCertified as a Great Place to Work®\nFortune Best Workplaces in Financial Services & Insurance\nVP AI Engineering - EnterprisePRIMARY PURPOSE: The Vice President, Generative (Gen) AI Engineering Enterprise, provides executive leadership, strategic direction, and accountability for the enterprise data and AI engineering ecosystem that enables the organization’s most advanced analytics, data science, and generative AI initiatives. This role owns the vision, governance, and execution model for the enterprise data supply chain that powers machine learning platforms, feature stores, and production-grade generative AI capabilities.\nAs a senior leader, the Vice President establishes and scales the engineering strategy required to transform legacy and modern data assets into trusted, AI-ready enterprise capabilities. The role ensures that data and AI engineering investments are aligned to business outcomes, regulatory expectations, and long-term architectural sustainability across on-premise and multi-cloud environments, including Snowflake and AWS/Azure AI ecosystems.\nESSENTIAL FUNCTIONS AND RESPONSIBILITIES\nDefines and leads the enterprise strategy for data and generative AI engineering, establishing standards, roadmaps, and operating models that support analytics, machine learning, and AI at scale.\nProvides executive oversight for the design, delivery, and operation of enterprise ETL/ELT platforms that integrate legacy on-premise systems (including mainframe, SQL Server, and DB2) with modern cloud data and AI platforms.\nEstablishes governance and accountability for feature stores, analytically optimized datasets, and AI-ready data products to ensure reproducibility, regulatory compliance, and production reliability.\nSets direction for generative AI enablement, including enterprise approaches for vectorization, embeddings, retrieval-augmented generation (RAG), and secure consumption of structured and unstructured data.\nOwns the enterprise Snowflake strategy, including architectural patterns, performance standards, cost governance, and integration with cloud-based AI services across AWS and Azure.\nLeads cross-functional collaboration with Technology, Security, Infrastructure, Legal, Risk, and Compliance leaders to ensure data and AI engineering practices meet security, privacy, and regulatory requirements.\nEstablishes executive-level operating metrics and financial discipline to ensure data and AI engineering investments deliver measurable business value and return on investment.\nProvides leadership and direction to engineering leaders and teams, setting priorities, removing organizational barriers, and ensuring consistent execution across portfolios and initiatives.\nServes as a senior advisor to executive leadership on data, AI, and generative AI capabilities, risks, and opportunities, translating technical complexity into business-level insights and decisions.\nDrives organizational readiness by shaping talent strategy, capability development, and succession planning for data and AI engineering roles across the enterprise.\nJob ResponsibilitiesLead AI engineering for enterprise functions including HR, Marketing, Finance, Legal, and other corporate functions.\nIdentify and deliver high-value LLM, agentic AI, workflow automation, and knowledge-assistant use cases.\nBuild reusable AI capabilities, agents, APIs, connectors, and workflow integrations rather than isolated point solutions.\nOwn the enterprise administration and operational management of ChatGPT Enterprise and Claude.\nManage user access, licenses, roles, permissions, workspaces, and enterprise configuration for these platforms.\nEstablish and manage approved connectors and integrations to enterprise data and applications.\nPartner with Security, Privacy, Legal, and AI Governance to define appropriate access controls and data-use guardrails.\nEstablish standards for enterprise use of GPTs, agents, projects, connectors, and other platform capabilities.\nMonitor adoption, utilization, license consumption, token/API usage, and overall platform effectiveness.\nPartner closely with Finance and Procurement to manage AI platform spend, forecasting, chargeback/showback, license optimization, and vendor commitments.\nDevelop cost-management practices to identify unused licenses, excessive consumption, duplicated capabilities, and opportunities for optimization.\nOwn relationships with OpenAI, Anthropic, and other relevant enterprise AI technology providers.\nEvaluate new platform capabilities and determine when they should be enabled, restricted, piloted, or adopted broadly.\nEnsure enterprise AI tools align with Sedgwick's broader AI architecture and do not create unmanaged technology or data silos.\nEstablish operational dashboards for adoption, usage, cost, risk, and business value.\nLead a small engineering/platform team responsible for enterprise AI solutions, integrations, administration, and support.\nPartner with business leaders to drive responsible adoption and measurable productivity improvement from enterprise AI.\n\nStrong balance of technical depth, operational discipline, and business orientation\nADDITIONAL FUNCTIONS and RESPONSIBILITIES\nPerforms other duties as assigned.\nTravel as required.\nSUPERVISORY RESPONSIBILITIES\nProvides support, guidance, leadership and motivation to promote maximum performance.\nAdministers company personnel policies in all areas and follows company staffing standards and training recommendations.\nInterviews, hires and establishes colleague performance development plans; conducts colleague performance discussions.\nQUALIFICATIONS\nEducation & Licensing\nBachelor’s degree in Computer Science, Data Engineering, Artificial Intelligence or a related field from an accredited college or university required. Masters Degree preferred.\nQualifications10+ years of engineering, platform, or enterprise technology experience with 5+ years in technical leadership.\nStrong hands-on understanding of LLMs, agentic AI, RAG, APIs, workflow automation, and enterprise integration.\nExperience building AI solutions for corporate functions such as HR, Marketing, Finance, or Legal.\nExperience administering enterprise SaaS or AI platforms at significant organizational scale.\nStrong understanding of identity, SSO, RBAC, connectors, APIs, data permissions, and enterprise security.\nExperience with ChatGPT Enterprise, Claude Enterprise, Microsoft Copilot, or comparable enterprise AI platforms strongly preferred.\nStrong AWS and/or Azure knowledge and understanding of how enterprise AI platforms integrate with cloud environments.\nExperience establishing AI governance, access controls, monitoring, and responsible-use standards.\nStrong financial management skills with experience managing technology consumption, licenses, vendor spend, and forecasts.\nAbility to work effectively across Engineering, Security, Finance, Procurement, Legal, HR, Marketing, and executive leadership.\n\nExperience\nTen (10) years of progressive experience in data engineering, analytics platforms, or AI-related technologies, including senior leadership responsibility for enterprise-scale data or AI initiatives, or an equivalent combination of education and experience required.\nSkills & Knowledge\nExecutive-level expertise in modern data architectures, cloud data platforms, and AI enablement, including Snowflake and AWS/Azure ecosystems\nProven experience establishing enterprise governance models for data, analytics, and AI systems\nStrong understanding of machine learning and generative AI data requirements, including feature engineering, vector databases, and RAG-based architectures\nAbility to set technical direction without direct hands-on execution, guiding senior engineers and leaders through complex architectural and delivery decisions\nExperience managing large, cross-functional initiatives with significant financial and organizational impact\nStrong financial acumen, including budgeting, investment prioritization, and ROI measurement for technology initiatives\nExceptional executive communication skills, with the ability to influence senior leaders and align stakeholders across business and technology domains\nDemonstrated ability to lead through ambiguity, scale new capabilities, and drive enterprise change\nAbility to meet or exceed Performance Competencies\nWORK ENVIRONMENT\nWhen applicable and appropriate, consideration will be given to reasonable accommodations.\nMental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines\nPhysical: Computer keyboarding, travel as required\nAuditory/Visual: Hearing, vision and talking\nThe statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.\n\nPosition is based in the U.S. and is remote.\nSedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.\nIf you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. 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